{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pandas import DataFrame,Series\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:>"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Series画图\n",
    "s = pd.Series([100, 200, 300, 200, 150, 400, 250])\n",
    "s.plot()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(0, 2*np.pi, 0.1)\n",
    "y = np.sin(x)\n",
    "s = pd.Series(data=y, index=x)\n",
    "s.plot()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "     Jeff  Jack  Rose  Lucy  Lily  Bob\n1st    90    76    74    99    71   73\n2nd    67    59    54    99    60   95\n3th    82    97    96    85    73   62\n4th    55    65    67    92    65   80\n5th    53    54    72    76    72   88",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Jeff</th>\n      <th>Jack</th>\n      <th>Rose</th>\n      <th>Lucy</th>\n      <th>Lily</th>\n      <th>Bob</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1st</th>\n      <td>90</td>\n      <td>76</td>\n      <td>74</td>\n      <td>99</td>\n      <td>71</td>\n      <td>73</td>\n    </tr>\n    <tr>\n      <th>2nd</th>\n      <td>67</td>\n      <td>59</td>\n      <td>54</td>\n      <td>99</td>\n      <td>60</td>\n      <td>95</td>\n    </tr>\n    <tr>\n      <th>3th</th>\n      <td>82</td>\n      <td>97</td>\n      <td>96</td>\n      <td>85</td>\n      <td>73</td>\n      <td>62</td>\n    </tr>\n    <tr>\n      <th>4th</th>\n      <td>55</td>\n      <td>65</td>\n      <td>67</td>\n      <td>92</td>\n      <td>65</td>\n      <td>80</td>\n    </tr>\n    <tr>\n      <th>5th</th>\n      <td>53</td>\n      <td>54</td>\n      <td>72</td>\n      <td>76</td>\n      <td>72</td>\n      <td>88</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.random.randint(50, 100, size=(5, 6))\n",
    "index = ['1st', '2nd', '3th', '4th', '5th']\n",
    "columns = ['Jeff', 'Jack', 'Rose', 'Lucy', 'Lily', 'Bob']\n",
    "df = pd.DataFrame(data=data, index=index, columns=columns)\n",
    "df"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:>"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "          0         1         2         3\n0  0.337584  0.609849  0.516038  0.711683\n1  0.757197  0.133724  0.868939  0.264677\n2  0.364017  0.831700  0.037436  0.878518\n3  0.235806  0.925902  0.421743  0.561323\n4  0.716062  0.117568  0.191572  0.666614\n5  0.696467  0.155401  0.326106  0.082433\n6  0.414871  0.864312  0.681274  0.678595\n7  0.840479  0.420280  0.799165  0.774621\n8  0.260504  0.015737  0.971189  0.142320\n9  0.481591  0.541766  0.716492  0.105716",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.337584</td>\n      <td>0.609849</td>\n      <td>0.516038</td>\n      <td>0.711683</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.757197</td>\n      <td>0.133724</td>\n      <td>0.868939</td>\n      <td>0.264677</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.364017</td>\n      <td>0.831700</td>\n      <td>0.037436</td>\n      <td>0.878518</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.235806</td>\n      <td>0.925902</td>\n      <td>0.421743</td>\n      <td>0.561323</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.716062</td>\n      <td>0.117568</td>\n      <td>0.191572</td>\n      <td>0.666614</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0.696467</td>\n      <td>0.155401</td>\n      <td>0.326106</td>\n      <td>0.082433</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0.414871</td>\n      <td>0.864312</td>\n      <td>0.681274</td>\n      <td>0.678595</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0.840479</td>\n      <td>0.420280</td>\n      <td>0.799165</td>\n      <td>0.774621</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0.260504</td>\n      <td>0.015737</td>\n      <td>0.971189</td>\n      <td>0.142320</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0.481591</td>\n      <td>0.541766</td>\n      <td>0.716492</td>\n      <td>0.105716</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 条形图/柱形图\n",
    "df = pd.DataFrame(data=np.random.rand(10,4))\n",
    "df\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "scatter requires an x and y column",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mValueError\u001B[0m                                Traceback (most recent call last)",
      "Cell \u001B[1;32mIn[27], line 7\u001B[0m\n\u001B[0;32m      1\u001B[0m \u001B[38;5;66;03m# df.plot(kind=\"bar\")\u001B[39;00m\n\u001B[0;32m      2\u001B[0m \u001B[38;5;66;03m# df.plot.bar()\u001B[39;00m\n\u001B[0;32m      3\u001B[0m \u001B[38;5;66;03m# df.plot.bar(stacked=True)\u001B[39;00m\n\u001B[0;32m      4\u001B[0m \u001B[38;5;66;03m# df.plot(kind=\"bar\",stacked=True)\u001B[39;00m\n\u001B[0;32m      5\u001B[0m \u001B[38;5;66;03m# df.plot(kind=\"barh\")\u001B[39;00m\n\u001B[0;32m      6\u001B[0m df\u001B[38;5;241m.\u001B[39mplot(kind\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mbox\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m----> 7\u001B[0m \u001B[43mdf\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mplot\u001B[49m\u001B[43m(\u001B[49m\u001B[43mkind\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mscatter\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32mF:\\python38\\lib\\site-packages\\pandas\\plotting\\_core.py:917\u001B[0m, in \u001B[0;36mPlotAccessor.__call__\u001B[1;34m(self, *args, **kwargs)\u001B[0m\n\u001B[0;32m    915\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m kind \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_dataframe_kinds:\n\u001B[0;32m    916\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(data, ABCDataFrame):\n\u001B[1;32m--> 917\u001B[0m         \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mplot_backend\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mplot\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mx\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43my\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mkind\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mkind\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    918\u001B[0m     \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m    919\u001B[0m         \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mplot kind \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mkind\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m can only be used for data frames\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n",
      "File \u001B[1;32mF:\\python38\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\__init__.py:70\u001B[0m, in \u001B[0;36mplot\u001B[1;34m(data, kind, **kwargs)\u001B[0m\n\u001B[0;32m     68\u001B[0m             ax \u001B[38;5;241m=\u001B[39m plt\u001B[38;5;241m.\u001B[39mgca()\n\u001B[0;32m     69\u001B[0m         kwargs[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124max\u001B[39m\u001B[38;5;124m\"\u001B[39m] \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mgetattr\u001B[39m(ax, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mleft_ax\u001B[39m\u001B[38;5;124m\"\u001B[39m, ax)\n\u001B[1;32m---> 70\u001B[0m plot_obj \u001B[38;5;241m=\u001B[39m \u001B[43mPLOT_CLASSES\u001B[49m\u001B[43m[\u001B[49m\u001B[43mkind\u001B[49m\u001B[43m]\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m     71\u001B[0m plot_obj\u001B[38;5;241m.\u001B[39mgenerate()\n\u001B[0;32m     72\u001B[0m plot_obj\u001B[38;5;241m.\u001B[39mdraw()\n",
      "File \u001B[1;32mF:\\python38\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:1065\u001B[0m, in \u001B[0;36mScatterPlot.__init__\u001B[1;34m(self, data, x, y, s, c, **kwargs)\u001B[0m\n\u001B[0;32m   1063\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m is_hashable(s) \u001B[38;5;129;01mand\u001B[39;00m s \u001B[38;5;129;01min\u001B[39;00m data\u001B[38;5;241m.\u001B[39mcolumns:\n\u001B[0;32m   1064\u001B[0m     s \u001B[38;5;241m=\u001B[39m data[s]\n\u001B[1;32m-> 1065\u001B[0m \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[38;5;21;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43ms\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43ms\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m   1066\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m is_integer(c) \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdata\u001B[38;5;241m.\u001B[39mcolumns\u001B[38;5;241m.\u001B[39mholds_integer():\n\u001B[0;32m   1067\u001B[0m     c \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdata\u001B[38;5;241m.\u001B[39mcolumns[c]\n",
      "File \u001B[1;32mF:\\python38\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:986\u001B[0m, in \u001B[0;36mPlanePlot.__init__\u001B[1;34m(self, data, x, y, **kwargs)\u001B[0m\n\u001B[0;32m    984\u001B[0m MPLPlot\u001B[38;5;241m.\u001B[39m\u001B[38;5;21m__init__\u001B[39m(\u001B[38;5;28mself\u001B[39m, data, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m    985\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m x \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mor\u001B[39;00m y \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[1;32m--> 986\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_kind \u001B[38;5;241m+\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m requires an x and y column\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m    987\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m is_integer(x) \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdata\u001B[38;5;241m.\u001B[39mcolumns\u001B[38;5;241m.\u001B[39mholds_integer():\n\u001B[0;32m    988\u001B[0m     x \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdata\u001B[38;5;241m.\u001B[39mcolumns[x]\n",
      "\u001B[1;31mValueError\u001B[0m: scatter requires an x and y column"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# df.plot(kind=\"bar\")\n",
    "# df.plot.bar()\n",
    "# df.plot.bar(stacked=True)\n",
    "# df.plot(kind=\"bar\",stacked=True)\n",
    "# df.plot(kind=\"barh\")\n",
    "df.plot(kind=\"box\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [
    {
     "data": {
      "text/plain": "     Python      Java\nA  0.575700  0.334395\nB  0.376069  0.779087\nC  0.043554  0.188909\nD  0.876430  0.707303",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Python</th>\n      <th>Java</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>A</th>\n      <td>0.575700</td>\n      <td>0.334395</td>\n    </tr>\n    <tr>\n      <th>B</th>\n      <td>0.376069</td>\n      <td>0.779087</td>\n    </tr>\n    <tr>\n      <th>C</th>\n      <td>0.043554</td>\n      <td>0.188909</td>\n    </tr>\n    <tr>\n      <th>D</th>\n      <td>0.876430</td>\n      <td>0.707303</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data=np.random.rand(4,2),\n",
    "                   index=list('ABCD'),\n",
    "                   columns=['Python','Java'])\n",
    "\n",
    "df\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [
    {
     "data": {
      "text/plain": "array([<AxesSubplot:ylabel='Python'>, <AxesSubplot:ylabel='Java'>],\n      dtype=object)"
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 800x800 with 2 Axes>",
      "image/png": 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5DCHYpJgMVx4nfHADvHEBdPRsH8LusjWuYUJm783LFF1T1+5i8stLeWjOT0E/QUeIcDFjxgw0TdvxaGtrY+nSpZxzzjndu+CS5+D5Y6FWRlqijaYzcGfHxV16jcPj477313DjGz/S6fb2UrLYI8VkOGqtCEwM//FV1Um4LmWJ6gjiVzQNXviqhEteXEJDh0t1HCHCl70RXjsXPv4jeGX+dzRaX3Aenzakdeu1H62s4vRnvmFzXXuQU8UmKSbDTenX8NyxUL1CdRIAhjXMw2bwqY4hfmNJSROTnvqa5WVyWpEQu6heGTjFZrNM1YlWflsaV5eP79E1Ntd1cMYz3/DhSplD21NSTIaTJc/DK2f06pY/XaV3NHJTwVbVMcRu1LQ5ufC5xbz6XanqKEKEj9XvwvTx0FqmOonoRXPSplDhtPT4Ona3j5ve+JG/fLAGj0wf6jYpJsOB1wXvXw8f3wn+8JvDca5hoeoIYg/cPj/3fbCWO95ZidsrDaGIYZoGn/01sOuFV850j2bOtCHcVjI2qNec+d02LnlxCe2O4J0mF0ukmFStrQpePhVWvKY6yR5l1CxiULw0zuHs3R8q+NOsVfhlHzURizwOeGcyfP246iQiBB7TX9Erx/0uLWni5jd/xOuXdrSr5Gxuleo3RMSeZzq/l7sKV3DVpsNVRxF78WN5C/WDLfTx+vn1gVgjZ44MaY7Vk7u3arampoaHHnqIOXPmUFlZSVZWFmPGjOGWW27hhBNOCHJKETU66uCNC6HyB9VJRAjU5J/Ei1sKe+3625o6qW93Uej28uuTBaUd3TspJlWpWgGvnQ2djaqT7JejOuYDUkyGO49Po6ypk/4WC1bTnjfxDTelpaUceeSRpKSkMHXqVEaOHInH42H+/Plcf/31rF+/XnVEEY6aS2Hm6dAi+wbGAs1o5abGbm4R1QU+v0ZZswOD2UKi1dTr9wsWle2oFJMqbPsOXj8fXG2qk+w3S/NGzs2u4d3aHNVRxD54/X621HfQNz2eBEtk/Ihfd9116HQ6li5dSnz8L+frDh8+nCuvvFJhMhG2GrcECsm2CtVJRIj8kHsRSzclheRemqZR2tBJfqqNtHhzSO7ZUyrbUZkzGWqbPwv0SEZQIbnd1UmLVUcQ+8nn1yhtsNPuDP/J5E1NTcybN4/rr79+pwZwu5SUlNCHEuGtfgO8PEEKyRjiS8jlD9uOC+k9NTQqmjsjYk9f1e2oFJOh9NMH8MZF4OlUnaRbBtXNJ9EYfqvNxe75NY1tjeH/d23z5s1omsaQIUNURxGRoGZNoJDsqFGdRITQ64lX0OhWM+Rc1RL+C1BVt6NSTIbKj/+Fd64An1t1km7TuVq5rXCT6hiiCyJhdbcWARlFmKhcDjMnhdVevKL3dWQeyJ9Lh6uOEdZUt6NSTIbCijfgg+tBi/yTZM7QvlAdQUSZgQMHotPpZJGN2LuyJYHdLxxy6lMs0dDxZ/flaFrwtwKKJqrbUSkme9vGT+DDG4Do6H1Jrf2WMUkdqmOIKJKWlsb48eN59tlnsdvtu3y/paUl9KFEeKleCa+dA65W1UlEiJUWnMGs2izVMcKe6nZUisneVP59YCPdMDzVprt0mp/bs5erjiGizLPPPovP5+OQQw7hf//7H5s2bWLdunU89dRTHH64bEkV05q3wX/PA3e76iQixDRzAtfWTFIdI2KobEcjY9+QSFS/AV4/L2IX2+zNYW3zgWNUxxBRpLi4mOXLl/PQQw9x++23U11dTWZmJmPHjmXatGmq4wlVOpvgv+dCR63qJEKBL7Ins35TnOoYEUNlO6rTVM/ajEatlTD95KjetuK+tKm8WpWvOob4lfxEA/ePyyIrrwCdce/7olmMBvpnxmM0RO7ghNPppKSkhKKiIqy/PqpCRAePE145HcqXqE4iFPAkFzOm4QHsvtC2UV1pRw16Hf0zEyLqgIjdCUZbGrm/ScKVozkwtyeKC0mAK+K+VR1B9IDL66O0sRO/nEErwpHfD/+7SgrJGDbNckXIC8mu8vk1ShrseHx+1VGUC+//U0E0ZcoUdDrdjkd6ejqnnHIKq1atCt5NPE54/UKoXxe8a4aporpPSDeH/4bYYs863V7KmjqVbykhxC7m3QXrZ6tOIRRpyj2ax8v6q46xXzw+P6UNdnwx/sE8ZopJgFNOOYXq6mqqq6v5/PPPMRqNTJoUxMm9H98J5bFxSozObeeOAtnKJdK1OT3UtDlVxxDiF98+A0ufV51CKKLpjdzRdqHqGF3i8Phi/oN5TBWTFouFnJwccnJyGDNmDHfffTfl5eXU19f3/OI/vgbLX+n5dSLIRN8C1RFEENS3u2h1RO5m+iKKlH4Dn/5ZdQqh0Nr881nQmKo6Rpe1Oz3UxvAH85gqJn+to6OD1157jQEDBpCent6zi1Wvgjl3BCdYBEmsXcqhKZF3xrjYVUWTA6cn8jfVFxGsoz4wTzIKDncQ3eO3pfOH8pNUx+i2unYXbY7YnP4VU8Xk7NmzSUhIICEhgcTERD788EPeeust9Poe/GdwtsLbl4M3/M/uDDYdGrdlLlMdQwSBT9Moa+yM+Xk/QpHtC27aq1UnEQp9kHYFlU6L6hg9Ut7cidsbex+IYqqYHDduHCtWrGDFihUsXbqU8ePHc+qpp7Jt27buXVDT4L1roLkkuEEjyNiWj9HppACJBk6vj4rm6NsXVUSAhY9AyULVKYRCzvRh3LF1jOoYPebza5Q1deKPsfmTMVVMxsfHM2DAAAYMGMDBBx/Miy++iN1u54UXXujeBb95AjbMDWrGSGNsr+Tq/HLVMUSQtDo8NHS4VMcQsWTz57BoquoUQrGHtSvwadFRknS6fVS3BHf+ZEdHB8uWLWPTpk1BvW6wRMf/uW7S6XTo9Xocjm4MUZd+DZ//LfihItBl1q9VRxBBVNPqlPmTIjTaqmDW70GTffpiWVX+KcyMskMwGu0uWjqDt7CxoaGBrKws2tvbcbvDb8FkTBWTLpeLmpoaampqWLduHTfeeCMdHR2cdtppXbuQsy0wvC0TxQEoqPmcXGv4/eUW3ePXNMqbY3ubCxECmgb/uxo6G1QnEQppRhs3NJytOkavqGpxBGVDc5/PR1NTE1lZWSQnJ9PY2BiEdMEVU2dzz5s3j9zcXAASExMZMmQI77zzDscdd1zXLjT/T9AqQ7vb6bwO7sxfy21bDlAdReyG6cTDu/waL9DdXUSHru/apv1Tpkxh5syZABiNRtLS0hg1ahQXXXQRU6ZM6dkCORG+lk2HbTKqEeuW5F7C8k0JqmPsU3faUYDN3bzfr9vR5uZmrFYrVquV9PR0ysvLycnJQafT7fQalW1pzLTSM2bMQNO0HY+2tjaWLl3KOeec07ULbfoMfny1d0JGsJPdn6mOICLY9gMFSktL+fjjjxk3bhw333wzkyZNwuv1qo4ngq21Aj69X3UKoZg3MZ9rS49RHSPsNTQ07NjCMDk5GZ/PR0dHx26fq6otjameyR5ztsFHN6lOEZYS6n/kuLRmvmyKvM1mhXrbDxQAyM/P58ADD+Swww7jhBNOYMaMGfzud79TnFAE1ezbwN2uOoVQ7NWEK2mulzJkb5xOJ3a7nf79A8dL6nQ60tLSqK+vJzExcZfnq2pL5f9iV3x2P7RVqk4Rtm7OWMqXTeNVx9ir9h/n0v7jXLyttQCYMvqQcsRF2PofBIDmddO0YDqd6xah+TzYig4k7eRrMcTvuUj2ux20LJxB58bF+J3tGJOzSRx7GokHTNjxnKbPX8C+5nN0Jispx04mYfi4Hd+zr/8a+5rPyTr3L730riPT8ccfz+jRo5k1a5YUk9Fk9buwab7qFEKx9qyD+GvJUNUxwl5DQwOaprFy5cqdvq7X6/F6vRiN+y7jQtGWSjG5v8qWwLKXVKcIa6Ma52HSn4zHr9v3kxUxJKaTeuxkjKl5AHSs+Zy6WQ+SO+VJzJl9afr8BRxblpFx5t3oLfE0fTqN+vf+Ts6le966pHnBizi3rSLjtNsxJmfjKPmRpk/+jSEhnbiBh9K5eQn2dQvJOv9veJuraPz4SWxFB2KIS8bvstOy6BWyL3wwVP8JIsqQIUNYtWqV6hgiWOyN8PFdqlMIxTSdnj85L1MdI+xpmkZjYyMFBQUkJyfv9L3NmzfvWJSzP3q7LY2ZOZM94vPARzcDsrp1bwz2Wq4rCO8N3OMGHIqt/8GY0vIxpeWTeszl6M1WXFUb8LvsdKz6lNTjr8LWdzSWnAFkTLgFV+U6XJV7Xo7iqlxH/IjjsfYZFeiVHHMK5qwiXNUbAfA0lmMtHIkldyDxw45FZ47b0TPa/MXLJB4wAWPS/jUIsUbTtF0mmYsINu9uWb0t2FJwFh/VZaqOEfZaWlrwer1kZGRgs9l2eqSmptLQsP8/S73dlkoxuT++exbqu7ZCNVZdaPpKdYT9pvl92H9aiN/jxJI/BFfNZvB7sfUbs+M5pvRCDEmZuKr2XExa8ofi2LwUb3tgOMK5bRWe5ipsRYHV7ebMItw1m/E5O3DVbEbzujCm5uGsWIu7dguJY7u4NVUMWbduHUVFRapjiGDY/Dmsflt1CqGYZkni2qoJ+36ioKGhgaSkpN0OZaemptLZ2Uln5/6dWtbbbakMc+9LZxN8/bjqFBEjp+YL+tkuoNRhVR1lj9z1pdS8egea143ObCPrrHsxZ/TBXrcVDEb01p23qTDEp+CzN+/xemknXkPj/Kep/PcU0BtApyP9lBuxFo4AwFY8lvjhx1Ez81Z0RjMZE29Fb7LQNP/fpE+8NTCPc/lsDLYk0sbfgDmzb2++/YixYMECVq9eza233qo6iugpvx8+uU91CgCmfe9m2jI3pS2B/f+GZxn48zFmTh1oAqCmw8+dn7r4dIuXdrfG4HQ99x5t4Zxhpj1e0+fXuP9LF6+t9lDToZGXqGPKaDP/d4x5R2/QY9+6ePSbwH68dx1p5vYjfjmDekmFl+vmOlnyu3iM+ujuif8scwqbNttUx4gIAwcO3OP34uPjOeigg/brOqFoS6WY3JdFj4GzVXWKiKHzufljwWqu23yw6ih7ZErLJ/eKp/C7Ounc8DUNc/5F9sWPdPt6bT98hKtqA5nn3IcxKQtn+RqaPv0PhoT0Hb2cKUddQspRl+x4TcvXr2PtNwad3kDrd2+Rd+WzODYvpXHO4+ROebKnbzHibD9QwOfzUVtby7x583j44YeZNGkSl19+uep4oqdWvgF1a1WnAKAgSccjJ1oYmKZHA2au8HDGmw5+/IOe4VkGLn/PQYtT48OL4siI0/H6ag/nv+tg2dV6Dsg17Paa//jGzbRlHmaeaWV4loFlVT6u+MBBshVuOtTCqloff/7CxeyL49A0mPRGJyf3NzIy24DXr3HNHCfPT7JFfSHpTunPTSXh+7shGqhqS6WY3JvmbfB9N8/tjmHjHJ8C4dtg6AwmTD8vwLHkDMBdvYn2ZR8SN/Ro8HnxOzt26p302Vv2uJrb73HRsugVMs++l7j+gfdszirCU1dC29JZOw2Zb+dpLMf+0xfkTnmKjlWfYi0YgSEumbghR9P48ZP4XZ3oLXHBf+NhbPuBAkajkdTUVEaPHs1TTz3F5MmTZdPySOdxwhd/V51ih9MG79zD+NAJBqYtc7O4wsfwLAPflvuYNtHKIfmBwvH/jrHwr8Vufqj27bGY/LbcxxmDjUwcFLh2vxQ9b6zxsLQy0Pu5vsHPqGwDxxcFfuWOytazvsHPyGwDU79xc0wfIwfn7/7a0eRp85U4fNH/PlVS1ZZKMbk3C/4GPjkmsKtsjWuYkNnA3PoM1VH2i6ZpaD4PlpwBoDfi2LaS+MFHAuBprMDXVo8lb8juX+z3gd+Ljt/0KOj0gePidnOvxvnPknr879CbbaD50fw/byS7/Z9BPqfY89l3Qb1eapyZwrTgFbszZsxgxowZQbueCDNLpkFbheoUu+Xza7zzkxe7Bw4vDBQ5RxQaeGutl4mDTKRY4e21XpxejeP67fnX5RGFBp7/wc3GRh+D0g2srPHxdZmPx08OTPcZmaVnY6OPslY/mgYbG/2MyNKzpcnPyys8/PD7+JC8X5Uaco/l6ZLInf8c7HbUajIwMCshqItiVLalUkzuSdWKwH5ooluuT1nM3PpJqmPsonnhDGzFB2FMysTvdmD/6UtcZatJPv8B9JZ4EkadRPOCFzFYE9FZ4mj+9D9Y8oZgyf+lmKx84RpSj72cuEFHoLfEYSkcQfOXL6EzmTEkZeEqX4N97QJSj991P6+OlfMx2JKIG3AoEFi80/L167gq1+PY+gOm9D67zNkMNy2dbjISLdhM0sMg9qGzCb7+l+oUu1hd6+Pw6XacXkgww3sX2BiWGfj7/PZ5cVzwbifpj7Zj1EOcCd67II4BaXvu1bn7KDNtLo0hz9gx6MHnh4eOt3DJqEBP5dBMA38/wcpJrwYWSzx8gpWhmQZOfMXOoydZmL/Fy/1fujAZ4MlTrBzTN7p+NWt6E7e1XqA6Rlhxeny0ODykxplVRwmK6PobG0yf/hnZCqj7hjbMx2Y4NeyGNHz2VhpmP47P3oTeEo85sx9Z5z+wY+V12glX06TTU//+39F8HqxFB5J+0nU7XcPbVIHf9csKuszT76J54UwaPnoMv7MDQ1IWKUdfRsKYU39z72Zav3t7pz0rLXmDSTrkLOre/Sv6uGQyJob/YhMNqG110i8j+ntTRA999c+wnHM+OEPPimsSaHVqvPuTh8nvO1k4Rc+wTAP3LXDS4tT47LLAnMn313s5/51OvroinpHZu2/P3l7r5b+rPbx+jo3hmXpW1Pi4Zb6LvEQdk8cEioVrDjJzzUG/FA4zV7hJtOg4vMDA4Gc6+P7qeCraNC5810HJzQlYjNEzf3J1/oUs2pSiOkbYqWtzkWIzRcX2ZzpN281YXKzb/Bm81sUzu8UupmX/lX9s2/NqNBFc+YkG7h+XRVZeATpj73/aHZCVQJxZ3edRp9NJSUkJRUVFWK3hu3tAzGopg6cPAp9LdZJ9OvEVO/1T9fzxSAsDnu5gzbXxDM8y7PT9AWl6/jNp96uQC//Vzt1HWrj+kF9+7h5c5OK1VR7W37DrSENDp59DXrCz6Ip4llf7eHCRi6VXB56XObWdBZfH7bFwjTT+uAyOsD9GjSsyeuBC3Y72SYsjRXHvZDDaUpnZvjtfPKw6QVQ417BQdQTRi2rbwr9IEAp99XhEFJIAfg1cPuj0BPpWfruo2qAPPGdPOj27eY1uz6+5db6LWw+zUJCkx+cHz6+mSXv9Gr4o6uKZlXJVxBSSKtS1u4iGPj0pJn+rbDFULlOdIipk1CxiULxDdYyYsbdfdr2h3enB4fGF9qa/Eg0NcNSyN8LKN1Wn2K17PnOyaJuX0hY/q2t93POZky9LfVwy0sSQDD0D0vT8YbaTpZU+tjT5+ee3Lj7d4uPMIb/0wp/wip1nlv6yOPO0QUYe+srFnI0eSlv8vLfOw+OL3Zw1ZNee+0+3eNnY6OP6QwLzKQ/ON7C+wc/Hmzw8/4Mbg07H4PTo+NXcmTGSu0pGqo7RJYF2VNvtAsre4PT4aHN4QnKvPQlGWypzJn/r26dVJ4gaOr+XuwpXcNWmw1VHiQl2j4bP70fzeUMyPAPQ0O4K6srurnC7A7/MDYboGA6MKt+/CN7w/CBZZ9e4/D0H1R0ayRYdo7L1zL80jpP6B34dzr3Yxt2fuzjtjU463BoD0vTMPNPKhIG/bCm0pclPQ+cv3YlPn2rlvi9cXDfXSZ09sGn5H8aa+POxlp3u7fBo3PCxk7fOtaH/eZ5cQZKep0+1csUHTixGmHmmFZsp8ufQATzkm4xPi6zCuMXpx+PTAodamCz7fkEQ1La7SFI4d3L7KTom05435t8XmTP5a00l8PSBQd+aJZa5UgcxuPp+1TFigg647uBkjipOJS4lA0LQMOl0Oooy4jEZQvsLw+/3U1VVhclkok+fPlExgT1qeJzwxAiw16tOIhSqKJjIUZsv2fcTw9A5Q+OZNCSZ1LSMwAfzELQv+Sk2EqzdL+a6Q9M0Ojs7qaurIyUlhdzc3G5fS3omf23xNCkkg8zSvJFzc2p5tyZbdZSopwFvrG6nb7KJVIcTfrv3ZS/pbDSSbAttIwig1+ulkAxHq96SQjLGaaY4rqs7Q3WMbpu1zg7ACcU+TAYdoWhL2+r0ZCSGpif0t1JSUsjJyenRNaRncjtHC/xrOLg7VCeJOhsLz+PkTWepjhEzjDrIiDMQqs7CBIuRN39/GLYQr+w2m81yOk640TR49lBo2KA6iVDom8I/cMmmY1XH6DGrUUeqVb/L4qpeoYOXpxxMn7TQbrlmMpmCMlVIeia3+2GGFJK9ZGDdJyQaT6PdK3/dQsGrQY09hAtj2n18uKaByUf0C909RXja9KkUkjHOm1jANSVHqo4RFE6vRnVH6NrSN3+o5c+nDQvZ/YJJPtYD+Lyw9HnVKaKWztXKbYWbVMcQvejVxdtURxDh4DtZwBjrXo6/UjoOuundH8pxuNXtkNETUkwCbJgDbZUhu93DX7k4+IUOEh9uI2tqO2e+2cmGhp3/Ajm9GtfPcZD+aDsJf2/jnLc7qe3Y+3zOWes8nPyqnfRH29H9tY0VNbv+pbxtvpO0f7RR+K92/rtq5+0I3lnr4bQ3Ond5TTCcoX3RK9cV4WFzXQc/ljWrjiFUaiqBkkWqUwiFWrMP46HSIft+otitNqeXD1eGrhYJJikmAVa9HdLbLdzm5fqDzSy+Kp5PL4vD44eTX+vE7v5l+uqt85x8tNHLO+fZWDglnqp2jbPf3vtWG3a3xlF9jPzjxN1P4v1og4fXV3v45LJ4Hj3Ryu8+cuzY3qLVqXHvAhfPTuidk0RSa79lTJJMI4hm7/xQoTqCUCnE7agIL5rOwD2dF6uOEfFeW1ymOkK3SDHpaIZNn4T0lvMujWfKGDPDswyMzjEw4wwrZa0aP1QHehJbnRrTf/Tw+HgrxxcZGZtn4OUzrHxb7mNxhXeP171stJk/H2vhxOLdDzGsa/BzXD8DB+UZuGikiSSLjpLmQAH7x0+dXHuQiT7JvfNXQqf5uT17ea9cW4SHj1ZW4VS4iblQbNVbqhMIhTYVnM3c+gzVMSLe6spWVleE33n2+yITG376AHzufT+vF7X+fOJYmi2wZOyHah8ePzsVhUMyDPRJ1vFduY/DCrr3v210toHnf3DT7NDY2uzH4QlsyPt1mZflNT7+PbF3zzc+rG0+cEyv3kOo0+70Mn9tDWeMyVcdRYRaxTJo2qI6hVDEb03hmspTe3QNZ/ka2pb8D3ftFnwdTWSedS9xg3Y+8MLTUE7zwpdxlq0BzYcpvQ+ZZ92DMSlrz9mcHTQvehXHxm/xOdsxJmWRdsLV2PofDEDH2i9oWTgTze0gfuSJpJ1w9Y7XeltrqX3rPnInP4HeErrDGT5cWcnIguSQ3S8YpJhc/a7S2/s1jVvmOTmy0MCIrMDy/JoODbMBUqw770eQHa+jpqP7OzmNH2Dk0lEmDn6hA5tJx8wzbcSb4do5TmacYWPaMg9PL3WTEafj+UlWhmcF92QRU2sJl+dV8UpVXlCvK8LHO8sqpJiMRdIrGdPmZ0xm6+aedUZobiemrGISRp1E/Xt/3+X7nuZqav77RxJGnUTKUZegM8fhaShDZ9jzaV+az0PtW/dhiEsm48x7MCam422tQ28NbL/j62ylad7TpE+4BWNKDnXv/hVr39HEDTgEgMZP/k3qsVNCWkgCzF1dw58mDI2oPXRju5hsrYTSr5VGuH6OkzV1Pr6+MjR7S91/nJX7j/vlh/6vX7o4sciIyQAPLnKx+tp4Zm/0cvn7Dn74fULQ739F3Ne8wvlBv64ID99uaaC2zUl2Uu/2cosw4vPCmlmqUwhFXKmDuGXrwT2+jq3/Qdj6H7TH77csegVb/4NIHXfljq+ZUvd+YkvHqk/xO9vJuXQqOkOg3DEm/3KAhrelBp0ljvihgREza59ReBrLYcAh2H9aiE5vJG7wET15W91S2eJgeVkLY/umhvze3RXbcybXvEvg3BA1bpjrYPYmL19Mjqcg6Zf/FTkJOtw+aHHunK3WrpGTELxPKusbfLy22sPfjrfwZamXY/oayIzXc/5wE8ur/bS7gv/fpl/dp6Sb1R5qL3qPX4NPfqpVHUOE0ubPoLNBdQqhyBPGKbj8vVtKaJofx9ZlGFPzqH3rPsqfvoTqV26jc+N3e31d5+YlWPKG0PTpNMqfvpSq6dfR+t3baP7A3G5jWj6axxUYWne0467eiDmzHz5nBy1fvUbaSdf06vvam9mrqpTduztiu5hc9Y6S22qaxg1zHby33suCy+MoSt35f8PYXAMmPXy+9ZfFNhsafJS1ahxeGJyhZ03T+MNsJ4+fbCHBrMPnB8/POw9t/6evF+psndvOHQXrg39hETY+WVujOoIIpdWyijtW1eWdwLTyfr1+H7+9Fc3toG3Ju9iKx5J9/t+IG3Q49e/9HWfZ6j2+zttSi33DN2h+P1nn3U/yERfStvQ9Wr8NTMswWBPImHgrDbMfp+aV24gfcTy24rE0L5hO4oGT8LbWUvXyTVRNvw77+tCOYs5dXY3fHzkHFMbuMHf9Bqjd81/C3nT9XCevr/bwwYVxJFp01Py8f2SyRYfNpCPZquOqA0zc9omTNJuOJIuOGz92cniBYafFN0Oe6eDhEyycNTRwLnKTQ6Os1U9Ve+B6GxoC/8xJ0JGTsHPB+uJyD5lxOk4bHHjtkX2M3L/QxeIKLx9v8jIsU7/LnM1gmehbwD2M7JVrC/UWb22kzekhyRr687pFiHndsHG+6hRCAc1g5ubmc0NzLy3wu8w24DCSDj4TAHN2Ma7KdbSv+Bhrnz38PtH8GOJSSD/lBnR6A5acAfjaG2lbOouUowLbGMUNOoK4Qb8MZTvLVuOpLyXtpD9Q9fzvyTjtTgzxqVS/chvWwhEY4lN6863uUNvm4vvSJg4tTg/J/XoqdovJTZ8qu/W0ZYFh3uNm7rxB+MtnWJkyJjCZ+F+nWNHPd3LO2524fDC+v3GX1dYbGv20/moo+sMNHq74wLnjzxf+L7Av5V+ONe80T7K2w89DX7n49qpf5mkekm/g9sMtTHzdQVZ8YHFOb0msXcqhKW0saUnqtXsIdTw+jS831HP6aFloFfW2fS3H0MaoFXkX8d2m0Kw4NsQlgd6AKaNwp6+b0gtxVfy059clpKHTG9DpDTu9xmdvRvN50Bl2/sCreT00fTKN9Em34W2uRvP7dhSqprR8XNUbiBtwaBDf2d59vKZGismwt1XdiSzaX/ZdRFmNOp6daOPZiXsu6n57nSljzDuK0b3JTtBTekviLl//87EW/nzs7jc8DyYdGrdlLuOCluN7/V5CjU/W1kgxGQsUfigX6vjis/hDWejab53BhCVnIN6mnU+H8TRVYtjLtkCW/KHYf1qIpvnR6QKjc57mykCRadh15KT12zexFh+IJWcA7tot4P9l31zN7wX/3k+hC7ZFm+pDer+eiM05k143bPtWdYqYNrblYwy60P5gitBZuKEet1f+/0a9EB/4IMLDO8lXUecK7jQWv9uBu3Yr7tqtQGCPR3ftVrxtdQAkHXo29nVf0b5iHp7mKtp++AjH5qUkHjhhxzUaZv+T5oUzdvw58YAJ+J3tNH/2PJ6mSjq3fE/rd++QeMDEXe7vbijDvv4rUo66FABjWgHo9LSv/ITOLd/jaazAnDswqO95X7bW26lu3fvJd+EiNnsmy5eAp3fOoBb7x9heye/yK3iuoo/qKKIXtLu8rKxo4eB+aaqjiN7SvA0aN6tOIULMnjmGe0pGBP267ppN1L7xpx1/bl7wIgDxI04gY+KtxA06gvTx19G6+B2aP38eY1o+mWf9CWvB8B2v8bbVg+6XPjJjUibZ5z9A0+cv0v7SDRgT00k66HSSDj1np3trmkbTvGdIPf536M2BKWF6k4X0CbfQ9Ok0NJ+HtJOuwZgY+hN+vtrUwPkHFe77iYrpNE2LnOVCwfL5A/DVP1WniHnlBRM5evMlqmOIXnLHyYO44fjQfpIXIbT8FfjwRtUpRAhp6Lg79Z+8VZ2jOkrMOGNMHk9eeIDqGPsUm8PcW79UnUAABTULyLWqPcpS9J4lJU2qI4jetHWh6gQixMoLJkkhGWLfbG4gEvr8Yq+YdDRD1Y+qUwhA53VwZ/5a1TFEL/lhWzNen8ybjFoli1QnECGkmeO5tvZ01TFiTkOHm/U17apj7FPsFZMli0CTX3Dh4mT3Z6ojiF7S6faxqrJVdQzRGxo2gb1OdQoRQl9lX87a9tAc+yt29s3m8D9hKvaKybLFqhOIX0mo/5Hj0ppVxxC9ZMlWGeqOSjK6E1M8SX25tiT0Z1SLgFUV4f+hPPaKyepVqhOI37g5Y6nqCKKXfF8qxWRUql6pOoEIoRdsV2L3BucoX9F1ayJghCf2iklFRyiKPRvVOA+TPvwnGIuu+6mqTXUE0RukmIwZLTlH8Og22ZVBpZJGOx0ur+oYexVbxWRLGTjDv8KPNQZ7LdcXlKiOIXpBTZuTZrus2I8qmiYjPDFC0xn4Y8fFqmPEPE2DtWHeOxlbxWTNGtUJxB5cYJKVodFqXbX0TkaV5hJwhfcvNhEcGwrO5ZMGOXggHKyWYjKM1MgQd7jKqfmSfjan6hiiF/wkxWR0kSHumOC3pvL7ivGqY4ifhfu8yW4Vk7W1tVx22WXk5eVhNBoxGAw7PcKWzJcMWzqfmz/my/+faLSuOvz3SBNdIMVkTJiTfgVlDqvqGOJna8J8/nm3zuaeMmUKZWVl3HfffeTm5qLT6YKdq3dIz2RYG+f4FDhYdQwRZOtrwrsRFF0k7WjUc6UN5raSsapjiF8pa+zE79fQ68Oz3upWMfn111/z1VdfMWbMmCDH6UWudmjepjqF2Atb4xomZDYwtz5DdRQRRFvqO1RHEMHUtFV1AtHLpuqvxOMPz6IlVrl9fqrbnOSn2FRH2a1uDXMXFhZGxFmRO2kuBSIscwy6PkU2lY82To+fhg6X6hgiGDQN2qpUpxC9qCbvJF6sKFQdQ+xGWWOn6gh71K1i8oknnuDuu++mtLQ0yHF6UVu16gRiPwxtmI/N4FMdQwRZRbNDdQQRDPZ68MpCuWilGa3c1HSO6hhiD8qbw7eY7NYw9wUXXEBnZyf9+/cnLi4Ok8m00/ebmsLw1It2+TQdCfSORm4u2MIj2wapjiKCqLLZwZjCFNUxRE+1lqtOIHrRD7kXsXRTkuoYYg/Km6KsmHziiSeCHCMEpGcyYpxjWMQjSDEZTSpbwrcRFF3QWqE6geglvvgc/rDtONUxxF6URVsxOXny5GDn6H3SMxkxMmoWMSj+Ejbaw3Oisei6Shnm3kVnZydlZWW43TufEDRq1ChFifaDFJNR643kq2hsNO37iUKZqCsmAXw+H++//z7r1q0DYPjw4Zx++unhu8+k9ExGDJ3fy12FK7hq0+Gqo4ggqWyRYnK7+vp6rrjiCj7++OPdft/nC+M5w1JMRqWOzAO5r2SY6hhiH+rawnchY7cW4GzevJmhQ4dy+eWXM2vWLGbNmsWll17K8OHD2bJlS7AzBke7FJOR5KiO+aojiCBq6JDzube75ZZbaGlpYcmSJdhsNubNm8fMmTMZOHAgH374oep4eyfFZNTR0PEX92VommwFFO7aHB7VEfaoW8XkTTfdRP/+/SkvL2f58uUsX76csrIyioqKuOmmm4KdMThkO4uIYmneyLk5tapjiCBpd4ZvIxhqCxYs4PHHH+eggw5Cr9fTt29fLr30Uh599FEefvhh1fH2rqNOdQIRZKUFZ/C/2mzVMcR+6HB78fnDc4vDbhWTCxcu5NFHHyUt7ZcD4NPT03nkkUdYuHBh0MIFjdcFjjBcYS726veJ36qOIIKkzelVHSFs2O12srKyAEhNTaW+vh6AkSNHsnz5cpXR9s1jV51ABJFmTuDamkmqY4j9pGnh2zvZrWLSYrHQ3r7rebsdHR2YzeYehwo6tzSAkWhg3SckGqUIiQbSM/mLwYMHs2HDBgBGjx7Nc889R2VlJf/5z3/Izc1VnG4f3OG7AEB03RfZk1nfEac6huiCtjBtS7tVTE6aNInf//73LFmyBE3T0DSNxYsXc80113D66acHO2PP+WS+ViTSuVq5vXCT6hgiCJweP26vX3WMsHDzzTdTXR2Yw/2Xv/yFjz/+mD59+vDUU0/x97//XXG6ffDIQqpo4Uku4satssgx0rSGac9kt1ZzP/XUU0yePJnDDz98x4blXq+X008/nSeffDKoAYPCG74roMTena59wf0MVR1DBEG700N6gkV1DOUuvfTSHf8+duxYtm3bxvr16+nTpw8ZGWF+Lr0Mc0eN/1ivxO7rVn+SUCiqismUlBQ++OADNm3axPr16wEYOnQoAwYMCGq4oPGF5398sW+ptd8yJulyVrQlqI4ieqjd6ZViEvj666856qijdvw5Li6OAw88UGGiLpCeyajQlHs0/yzprzqG6IaOMJ1/3u19JgEGDhzIwIEDg5Wl9/ikZzJS6TQ/t2cv57K2Y1RHET3k9cswN8Dxxx9Pfn4+F110EZdeeinDhkXI/n4+r0wZigKa3sgdbReqjiG6yRumq7m7VUz6fD5mzJjB559/Tl1dHf7f/JJYsGBBUMIFjQxzR7TD2uYDUkxGOp/UkgBUVVXx5ptv8sYbb/DII48watQoLrnkEi666CIKCgpUx9szjyy+iQY/5Z/Pgk2pqmOIbvJr4VlMdmvCxM0338zNN9+Mz+djxIgRjB49eqdH2JFh7ohmai3h8jzZJzTShev+aKGWkZHBDTfcwDfffMOWLVs477zzmDlzJv369eP4449XHW/PvE7VCUQP+W3p/L78JNUxRA+Eazuq07Sul7kZGRm88sorTJgwoTcyBV/JIph5muoUMcuv02O3JGC3JmI3x9NhtmE3WbGbLHQYTdgNRux6A3a9jg4d2NHI6jQzsN5MXrWfpLI2tLI6NG94zhUR+6fw5ZeJHzxIdYyw4/P5+Pjjj7nvvvtYtWpV+B6naG+AqTLPLhKVZPZnbv4Qjp1vwLhyq+o4ogcy7vkTGadNVB1jF90a5jabzeG72GZ3pGeyWzrN8ditCXRYEug0x9FhstBhstJpNNNhMGI3GLDr9XQAdp2GHT92v5cOzYPd58buc9DhdeD0OtHY/pnF+fMD8AQe/b1pHNWew/B6K7nlnVi3VKE1/rLJfJj+ahVdZNTLcW2/9s033/Df//6Xd999F6fTyRlnnBHeJ+AYraoTiC6oS87l475jmIOdde2l3P2TEcMX3xOe/Vpif5kIz/lC3Somb7/9dp588kmeeeYZdLoI+AVhjJ0VpC6DJdADaI2nwxyP3WzDbrTQYTJjN5iwGwx06A106nV0oGHHh13z0eH3YPe7sftc2L0OOr0OfNr2Ms4DtAb+1fvzo5v6elM4qiOXkfU28ioc2LZUo9XXAb8c0yaNXZQy9Gi9X9S45557ePPNN6mqquKkk07iySef5IwzziAuLsw3jzbZVCcQ+9BmS+azooOZY4ZlbZvxt68F4FhHX8a+tUra1migD8/tnPa7dT/77LN3+vOCBQv4+OOPGT58+I69JrebNWtWcNIFi6JG8OGvXMxa72F9gx+bUccRhQb+caKFwRmGnZ7n1Rt3DAPPWuvk35/UUl7vxOPTyM1J4OTTBzPm+GI6dDrsOvjyvZ9Y8t560DQGnllM3qQ87F4Xdm8nrZtaqZpeRf8/90dn6AA6wA8oWINU4E3maHseIxts5Fc4idtSjVZbDzTseI40brFDZzTs+0kxYNGiRdx5552cf/754b+v5K/pDWAwy4ruMOMyWllYfAhzE+L4qnUzbsdG+NUOTql+GzfMcqK5ZCFqNNAZwrMd3e9iMjk5eac/n3XWWUEP02tMwf/Er6H7ZR6gJY4Oc1xgHqDRQofRjN1o5LUPvmLkOX05bFA6dp+PBa+uZOzbrZz8xNG4TD7sPid2byfOX21d1JHmw396Gjm5ZnRGHe0r2nn+2aX0NdeSODIRZ7mTLa9voe8tfQFY868NOAZ6sRZa0XwaVTOryJuSh84Q2h7jHF8Cx9gLGNkQR2Gli/gtNWjVtUDjr/6biVgWro1gqH3zzTeqI3Sf0SbFZBjw6/Qs6XcQc1IzWNBRSrunFJp3/9zHlgxAK/sxpPlE79FZw3O6yX4Xky+//HJv5uhdv+qZdJhsPxeACYGFIOa4wEIQgwm70fTzQhB9YCGIjsAQsOalU/PS4XP9XAAGhoF/mQfo/vnBTsPA+lsyWIsdCJwaYZucgv2mGlas2UD84PjdRk0YuvPm3JaTLbR800Lnxk4SRybiqnZhLbCSMCzwPGuhNfC1QisNHzcQPzieuOLeHS7L8iVwdGc+oxri6VPlJmFLLVplNdCy4zlSOIrfCtdGUJWffvqJsrIy3O6di7OwPJJ2O5MVXK2qU8SsNfkjmZPVh3mOShpcNdBcs9fn31E9hsQvl4UonQgFw2869sJFtyYxHX/88cyaNYuUlJSdvt7W1saZZ54ZdvtMttlSOGXQsN/MA/QC7YHH9gKwl0cBfI7AvQ3x+9dDo2ka9nV2XNUucs7LAcBSYMFd68bd6AYNXDUuLAUWXHUumr9qpv/9wV1tme6P42h7PqObEulb6SFxax1aRRVoLb/kDOodRVQyGDCkyt52AFu3buWss85i9erV6HQ6tm+osX3+ediu5gZZhKPAtoxi5hQMZa63kW32KmhZvV+vO9JZyKFvrpH2OcoYklNUR9itbhWTX3755S6fpgGcTidfffVVj0MFW7w5kXZPh9IMml+j5vUa4gbGYS3Ye4Ps6/Sx4dYN+L1+dDodeZfnkTDi557IPCvZ52RTOrUUgJxzc7DmWSl5tISc83PoWNNB3ft16Aw6ci/J3WMP6O4k+60c01nAAY2J9Kn2kby1Dq28CvzrfnkfXX/rQmBITUUXphPHQ+3mm2+mqKiIzz//nKKiIpYuXUpjYyO33347jz32mOp4eyeLcEKiPimHj/uOYa7ewdq2EmjdvwJyu2S/lVve86I5ZW/QaGNIiYKeyVWrVu34959++omaml+62H0+H/PmzSM/Pz946YLEoDcQb4rH7rEry1D9ajXOCifF9xbv87l6q57+D/TH7/Rj/8lO9RvVmDJNO4bA045PI+34tB3Pb/66Gb1VT9yAODbevZH+f+mPp9lD+bRyBk0dhN606y/xRL+Foxz5HNiUTL9qH8klDbCtEnzrdzxHCkcRLMZIWmjSy7777jsWLFhARkYGer0evV7PUUcdxcMPP8xNN93Ejz+G8fw2c8K+nyO6pcOaxKfFhzDHAt+3bsbf8VO3r/XYskFopcuDmE6EBZ0uOoa5x4wZg06nQ6fT7fakBpvNxtNPPx20cMGUZE5SVkxWvVpF28o2iu8pxpRm2ufzdXodluzAdka2vjZc1S4a5jTsMp8SwNvupe6DOorvKaZzayeWHMuOh+bTcNe4SctP5ChHAWObUyiq9pNS2gilFeDdGPT3KsTuSDH5C5/PR2JiIhA4AKKqqorBgwfTt29fNmzYoDjdPiTlQqXqENHDbbCwqP8hzEmI56u2Lbh+sxK7O26pGU3y5z8EJ6AIK/r4+LBdyNilYrKkpARN0yguLmbp0qVkZmbu+J7ZbCYrKwtDmL7RVGsq1fbqkN5T0zSqX6um7Yc2iu4uwpxp7vZ1/J7db1Ra/Xo1GSdnYEoz4ShxgA+O7+zHQc0pXO/eyD8+zWZoYyt4N/XkrQjRI1JM/mLEiBGsXLmSoqIiDj30UB599FHMZjPPP/88xcX7HrlQKimMzw6PEH6dnqX9xjI3NYvPOkpo92zb40rsrjrUlc+Rb/4ko0pRypCUpDrCHnWpmOzbN7AdTXt7O/Hx+z8Xrydqamp46KGHmDNnDpWVlWRlZTFmzBhuueUWTjjhhP2+Tk5cDj81dn/YoDuqX62m5bsW+t7cF71Vj6clcBKPIc6A3hwYeq54vgJjqnHHApv62fXY+tkwZ5nxe/10rOyg5dsW8i7P2+X6zjWdWKrhoUnHM3C5Dvf6SiaUlzPsoRVs9XoxeH0UVdeH7SanInYYM9JVRwgb//d//4fdHhgl+etf/8ppp53G0UcfTXp6Om+++abidPuQtGs7JPbP2rwRzMnuy3xnFXXOWmiuDer1E/0Wbn8fNEcPuzZF2DL8ZtFzOOnWApzs7GzOP/98rrzySo466qhgZ9qhtLSUI488kpSUFKZOncrIkSPxeDzMnz+f66+/nvXr1+/7Ij/Lic/ptZx70rQgcCRgySMlO309/6p8Uo8OrGx1N7rhV1tC+l1+ql6twtPkQW/WY841U/j7QtIPSeUwZz4HN6cxoFZH/JZGzp2/gGm5uQx95ZchjXuzsrm3phqzTsfDOblYpZAUYcAgPZM7jB8/fse/Dxw4kPXr19PU1ERqamr4nyiWHH5z4sNZWUYRcwqGMdfbRKm9cr9XYnfHYz8Oga0yvB3NjHm5qiPskU7bvi9FF7z//vvMmDGDuXPn0q9fP6688kouv/xy8vKC+6l1woQJrFq1ig0bNuzSE9rS0rLL1kR78/Kal3n8h8eDmq+3GNBxiDOfQ1rSGVinJ6O0BcPWcjSHrMwTkSnvscdInjRRdQylfnuK2O4YjUZycnI46aSTOO2000KQqovKFsNL4/f9vBjWkJDFvKIDmaN3sKatZN8vCILr60Zx7HRZcBPt0q64guy7/qg6xm51q2fyzDPP5Mwzz6S+vp5XX32VGTNmcN999zF+/HiuvPJKTj/9dIzGnp3D29TUxLx583jooYd2O6TelUISIDchPCt6nQYHufI4tC2DQbUGMre1YtxSgdZZCpTueJ7MgRGRTOZM7nqK2O74/X42bdrEiy++yB133MEDDzwQgmRdkCQ9k7vTYU3is6KDmWvVs7R1M74erMTuqoNceRz3xnr5HREDzH37qI6wR93qmdydp59+mjvvvBO3201GRgbXXHMNd999N3Fx3TuNZenSpRx66KHMmjUrKEc3rm1cy4WzL+zxdXpCp8EB7lwOa8tkcK2BrLJ2jFvK0TrUbVkkRCgUz52DJdwXl4SR2bNnc91111FWVqY6ys58XngwE7TdLwiMJR6DmUXFhzInMYFFbZtx+UJ/9nWCZual/2XBptKQ31uEXp+XphN/xBGqY+xWj7oPa2trmTlzJjNmzGDbtm2ce+65XHXVVVRUVPCPf/yDxYsX88knn3Tr2kGqcXfokxj6in6UO4vDW7MZUm8iu6wd0+YKtPZyoHzHc+TTpIh2OrMZc2Gh6hgR5aijjuKggw5SHWNXBiMkZEN7aHfGCBd+nZ5lfccyNy2LT4K8Ers7Hl0xDDbJcYmxwtQnfHsmu1VMzpo1i5deeon58+czfPhwrrvuOi699NKdhp6POOIIhg4d2u1gAwcORKfTdWmRzd4kmhNJtaTS7Oqdn/xh7kyObMtmSIOZnLIOzJsr0FqrgKodz5HCUcQi84D+6Ez73l9V/CIlJYVZs2apjrF7GYNirpj8KXcYc3OK+biXVmJ3xx8aRpIxTwrJWKEzmTDlhud0PehmMXnFFVdw0UUX8e2333LwwQfv9jl5eXnce++93Q6WlpbG+PHjefbZZ7npppt6vAAHoF9yP5rrel5MDvKkc2RbDsPrLeRUdGLZXIHWXA380sBK4ShEgHVI9z9UijCUOwpKFqpO0evK0/syp2A4c33NlNgroWXVvl8UImPcOZz4xkb5PRNDTPn5YbthOXSxmPT7/UydOpX+/fvzww8/kJKSwogRI7DZdj2v1Waz8Ze//KVH4Z599lmOPPJIDjnkEB544AFGjRqF1+vl008/Zdq0aaxbt27fF/mVQamD+LGua0eVFXtTObo9l+H1VnLLO7FuqUJrrAV++WQqP9BC7Jl1yGDVEUQw5YxSnaDXNCZkMq/oQObqXaxq2wpta1RH2oVVM3LPbLPMtY8x5n79VEfYqy4Vkw899BD3338/J554IjabjSeffJK6ujpeeumlXglXXFzM8uXLeeihh7j99tuprq4mMzOTsWPHMm3atC5fb0jakL1+v683haM6chlZbyOvwoFtSzVafT1Qv+M5UjgK0TWWIXv/uRMRJsqKSbslkc+LD2au1cji1k34OrrWSRFqj60eiW7D96pjiBCzDh+uOsJedWk198CBA7njjjv4wx/+AMBnn33GxIkTcTgc6CNgc+w1DWu4aM5FAOT7kjimI4+RDXHkVziJ21KDVlunOKEQ0WfQ90sx/HwWtYgCfh/8PR+8kXvSisdg5qviQ5ibmMjCts04FazE7o6rmkYw/rkVqmMIBQqf+w8Jxx6rOsYedalnsqysjAkTJuz484knnohOp6OqqoqCgvA/s3VQ6iBe/m4UCRsq0aprgaYd35MeRyGCz5SfL4VktNEbIHsYVEbWaSsaOpb1Hcuc9Gw+s2+j1V2mdCV2V43wZHPK61vkd1WMso4K7xGBLhWTXq8Xq9W609dMJhMejyeooXqL2WAmvd6Fs1r9SjwhYoFlqAxxR6WckRFTTK7PGcbc3CLmuqqpddRBc+SNQFk0A/fNsaG1V6qOIhQwFRRgTE1VHWOvulRMaprGlClTsFgsO77mdDq55pprdlptHbZbWgC20aNxrl2rOoYQMUFWckepnJGqE+xVRVof5haOYK6/hS0dFb16JnYoPLp2FLp1Mk8yVtlGhffPG3SxmJw8efIuX7v00kuDFiYUbGNG0/z666pjCBETrNIzGZ3yw29D9ab4jMBKbIOHlW1bwnIldndMbh5O7kdSSMYy68jwHuKGLhaTL7/8cm/lCBnb6NGqIwgRGwwG4saOVZ1C9IacUWBLA0fTvp/bizotCXxefAhzrEaWtG7Gaw/OIRfhYogng0lvlMg8yRgXdT2T0cDcty+G9HR8jY2qowgR1WwjRmDo4sECIkLo9VB8LKx9L+S39uhNfFN8CHOTkvmybTMO52ZwhjxGrzNrBu6fl4TWWqM6ilBIZ7ViHTFCdYx9irliEiDh6KNpff991TGEiGrxxxytOoLoTcXjQlZMauhY3udA5mTk8Km9jBZ3OTSXh+TeqjyybjT6NUtVxxCKxR1yMPpfrVMJV7FZTI4bJ8WkEL0s4WgpJqNa/3G9fosNOUOZk1vMPFcN1Y56aK7f94uiwCUtQyn4UOZJCkg4KjLa0ZgsJuOPPBKdyYQWIVsaCRFpDKmpETE0I3ogpQ+k9YemLUG9bFVqH+b2GcEcfyubO8ojfiV2Vw30pnPmm+V04TwREcUSImSEJyaLSUNCPHGHHIL9m29URxEiKsUfeSS6CDgVS/RQ/3FBKSab49OZXzSWuUYvK1q3oEXJSuyuMmp6HvgkBa15g+ooIgyY+vQJ+zO5t4vJYhICQ91STArROyLl07TooeJx8P2L3XpppzmeL4oPYY7NxHdRuBK7Ox7eOAbDSpknKQISjjpKdYT9FrPFZOK446h98EHVMYSIPjod8RHUCIoeKDoG9Cbw79+UIa/eyLdFhzA7OYUv27fgcG2ByDgWu9ed3zaEvu8vUx1DhJFIWsQYs8WkKT8fy6BBuDZuVB1FiKhiHT4cY1qa6hgiFKxJgaHuTZ/s8SkaOn4sHMPczDw+sZfR7K6A5ooQhgx/xd5UznujEs3vVx1FhAmd1Ur8oYeqjrHfYraYhMBQtxSTQgSXDHHHmOFn77aY3JQ9mDl5A5jnrqOysxaaQ7u3r8/ho25WHW3L2/C2ebH2tZJ7cS5xxXH7fK19k52Sh0uw5lsZ8LcBO77e8m0LNe/W4Hf6ST06ldyLcnd8z13vpvSxUvrf3x+DzbDfOQ3oePCzDLSmdV17gyKqJYw7Dr3NpjrGfovpYjJx3HE0Pvec6hhCRJWkSaepjiBCachEMFjA56I6tZA5hSOYq7WxSfFK7MqXK3FVuCj4fQHGFCMt37ZQOrWUgX8fiCnVtMfX+ew+Kp6vIGFYAt5W746ve9u9VL5cScHvCjBlmtj2r23ED40naUwSAFWvVpF9XnaXCkmAhzYdgPFHmScpdpZ82umqI3RJTC+3tI4ahTErS3UMIaKG7YADsBQXqY4hQsmaxDdH/YHJY45nfIqeJ9vXBgpJhfxuP23L2sg5P4f4wfFYsi1kn5WNOctM04K9HwFZNbOKlMNSsPXfuVfIXe/GYDOQfGgyccVxxA+Nx1UVmPDZsrgFnUFH8kHJXcp5dvsgimfJPEmxM0NqKglHR9a885guJnV6Pclnn6U6hhBRI+Xcc1RHEArYi45meetmtDA5RVrzaeAHnVm309f1Zj32jfY9vq75q2bc9W6yzty1k8GSbcHv9uPY5sDb4cVR4sBaaMVnDwyn516au5sr7llfbwoXv1kLMk9S/EbSqaegM+259zwcxXQxCZB6/vmBc2aFED2ij4sj6ZRTVMcQChxXeBxJ5iTVMXYw2AzYBtio+6AOT7MHza/R8m0LnZs7dxq6/jVXjYuad2oo+EMBOoNul+8b4g0UXF1AxQsVbH1gKylHpJA4MpHqN6tJOyENT4OHzX/ezKZ7N9H6fete8+k0+PsX2fgbQjuPVESGpNMib6pQTM+ZBDDl5ZFw9NF0LFyoOooQES3x1FPQx8erjiEUMBvMjO83nnc2vqM6yg4Fvy+gcnolG27dAHqw9bWRfFgyzlLnLs/V/BoVz1WQfWY2lpw9n4OcNDaJpLG/FM329XZcFS7yLs1j410bKbymEGOykS0PbCF+cDzGpN3/in1w64GYlsk8SbErU98+xB1wgOoYXRbzxSRAygUXSDEpRA+lnHOu6ghCoTMHnBlWxaQly0LxPcX4XX58Dh+mFBNl/y7DlLnr8KHf4cdR4sCxzUHVa1WBL2qBx5or19Dvjn4kDEvY+TUeP1WvVFHw+wLcdW40n0b8kMCHKUuOhc4tnSQdsGtv7ekdAxn4vx+C/n5FdEiO0AWMUkwCCccegzE3F291teooQkQkc3ExcQdG3qdpETyjMkcxIn0EaxrD6yhEvUWP3qLHZ/fRsbqDnAtydn2OTc+ABwfs9LWmBU10/NRBnxv6YM407/Ka+g/rSRiZgK2fDcc2B/xq6qPm1Xb683b5viQue7sBzefr8fsSUchoJOW8yPxQLpMFAZ3BIAsHhOiBlHPk50fApcMuVR1hh/bV7bSvasdd76ZjTQclj5RgybWQelQqADXv1FDxfGDzdJ1eh7XAutPDkGhAb9JjLbCit+z8q9JZ6aR1aSvZZ2cDYMm1gA6aFjbRvqIdV7ULW/HOq8F1GjzyZR5abX0I3r2IREknn4wpZ9cPO5FAismfpZx7Hhilo1aILjMaST7zDNUpRBg4ud/JZMWFx3Zrfoefqler2HTPJipeqCBuUBz97uiHzhhYXONt8eJudHf5upqmUTWjipyLcnYUmXqznvzf5VP/YT2VL1WSe1nuLntZ/rX0QCxLw6vXVoSXtCmTVUfoNp2maeGxl0MYKL/hBjo++1x1DCEiSuIpp1DwxL9UxxBh4sXVL/Lk8idVxwgrE+z9mfLvLeDd/UpyIWwHHEC/N15XHaPbpGfyV1IvuFB1BCEii05HxjV/UJ1ChJHzBp2H1WBVHSNs5PgSuOLtZikkxV6lTb5cdYQekWLyV+KPOhLLoEGqYwgRMRJOOB7rkCGqY4gwkmxJZlL/SapjhI1Hv+qDVlOnOoYIY6a8PBJPOkl1jB6RYvJXdDodmTfdqDqGEBEj87rrVEcQYeiyoZehY9eNv2PNn7cdgPW7VapjiDCXeuml6AxdO9M93Egx+RuJJ56Idfhw1TGECHsJ48ZhHTZMdQwRhopTijmu8DjVMZQ62V7MiLd/VB1DhDlDaiop55+vOkaPSTG5G5k336Q6ghBhL+P661VHEGHspgNuQq+LzV8xWb4Ern63TeZJin1K//3vMSRE/slhsfmTvg8JxxyD7cADVccQImzFH3sMthHSgy/2bEDqACYVx+bcyanf9EWrqlEdQ4Q5Y04OqRdfpDpGUEgxuQeZN9+sOoIQYStTeiXFfrhuzHWY9LseXxjN/lR+ALZvVqqOISJAxnXXorfs+Sz4SCLF5B7EH3oIcYcdpjqGEGEn/qijsI0apTqGiAD5CfmcN+g81TFCZpyjHwe8LYWk2Ddz376knH226hhBI8XkXsjcSSF2lXmD9EqK/ff7Ub8nzhinOkavS/fHcd3/OtHcXT9VR8SejBtvRBdFp+5FzzvpBXEHHED8scdgX7hIdRQhwkLymWdiGzNGdQwRQdJt6Vw67FKeX/W86ii96rHv+qOVR8fq7Tebm3mzpYVKrweAAWYz16ZncExCAgCTy7bxvcOx02vOT07h/j2cK+3RNJ5qqGdRh50Kj5sEvYHD4+O4LTOTLGNgGoTb7+e+2hoWdHSQYTBwX3YOR8T/sjBlelMj1R4P/5cdmWdX/5pl8GCSJk5QHSOo5DjFfXBu2EjJOefIqjwR8wzJyRR/PBdjWprqKCLCdLg7mPjeRJqcTaqj9Iq7Kg9g7Cvfq44RNF90tKNHR1+zGYD3W1t5qamR//UrYqDFwuSybfQzm7khI3PHa2w6HQl72Cux3efjlqpKzk1OYYjVQpvPz9/ravFr8E6/fgC81tzEmy0t/Csvn6/sHbzU1MRX/Qeg0+mocLu5uqKcd/r22+M9IkmfGTOIP+xQ1TGCSoa598E6eBDpV1yhOoYQymXedpsUkqJbEswJ3Hnwnapj9IqjnX046K3o2ph8XEIixyYk0M9spp/ZzC2ZmcTp9az6VW+kVa8n02jc8dhbkZdoMDC9sA+nJiVRZLYw2mbj/7KyWetyUuUJ9H5udbs5PiGBgRYLF6ek0uTz0ezzAfBAbS23Z2ZFRSGZNGFC1BWSIMXkfsm44XrMffuqjiGEMrbRo0k5P3YWUojgm1Q8iSPyjlAdI6hS/TZumuVGc7lUR+k1Pk1jblsbDk1jtM224+uz29o4YvMmTi/ZyuP1dTj8/i5dt93vRwck6QNlyGCLheUOB06/n6/tdjINRlINBj5qa8Ws13FiYmIw35YS+vh4su66S3WMXiHD3PvJvngJZVOmqI4hROgZDBS9+w7WoUNVJxERrry9nLM/OBunz6k6SlC8uHgUSV8sVx2jV2x0Oblo2zbcmkacXs+juXkc+/OcybdbWsgzGckyGtngcvF4fT0jrVaeyi/Yr2u7/H4uKdtGkdnC1Lw8IDCv8pG6WhbZ7aQaDNyVmUV/i4ULtpUyo7APb7e0MLe9jT4mMw/m5JBtirwtp7Luvov0KK0jpJjsgqp776X1f7NUxxAipNImX072PfeojiGixIurX+TJ5U+qjtFjt1eP4dAZy1TH6DVuTaPa46HD72d+exv/a21lZmEfBuxmX8TFdjtXVpQzr6iYPj/Ps9wTj6ZxS2UlNV4PMwv77HXo+k/V1Qy1Wsg3mXiivp43+/ZjelMjm10untzPwjVcWIcPp9/bb0X8Gdx7IsPcXZD9xz9iyMhQHUOIkDFmZ5Nxo2yRJYJnyvApDEwdqDpGjxzhLOSwt9aojtGrzLrAApzhViu3ZWYx2GLh1ebm3T531M/D32WevW+L5NE0bquqpMrrYfo+CsklnXa2uF1cnJLK952dHBOfQJxezymJSSzt7Oz+G1PBYCD3bw9EbSEJUkx2iSE5mZw/SQ9NML3Q2MiwDet5uK52p6+vcDi4oryMsRs3cPCmjVxWtg3nXubk+H7eeuKkrVs4YOMGxm/dwrSGBn7d8f5SUyNHbd7EUZs38XJT406vX+lwcG5pCV7pqN9J9j33RMW5sSJ8GPVG/nL4XyL23O5kzcqt7/vQHNExVL+/NMCj7b4NXu8M/LfINOx5t8HtheQ2t5vpBYWk7KWwcvn9/K22lr9k52DQ6fBp4CXQNns1ja7NzlQvbcpkrMOGqY7RqyLzp1mhpAkTSDj2WNUxosJqh4O3W1sY/JthkxUOB7+vKOeIuHje7NuPt/v25eKU1L3+ZX2xqZE3W1r4v6xsZhcVcVtmJtObmnitJfBJeoPTyTMNDTyWm8fU3DyeamhgoyvQAHo1jb/W1vCX7ByMOl1vvd2IkzBuHEmnjFcdQ0Sh0ZmjuXDwhapjdMvUZYPRSspUx+hVj9fXsayzk0qPm40uJ4/X17G0s5NJScmUud1Ma2hgrdNJpcfNgo527qmp5iCbjcFW645rTCzZymft7cDPQ9tVlax1Onk0Nw8fUO/1Uu/14t7NB/hpjY0cE5/AsJ+vd4DNxqft7WxwOnm9pZkDfrUQKNxZhg4lKwaOZ5ZNy7sh5/6/sHXiJPyR1tUeRux+P3+sruKv2Tk819iw0/ceqavl0tRUrk5P3/G1IvPezy9d4XBwfELCjgni+SYzc9vaWO1wQmpg24lBFguH/bwJ7iCL5eevWXmpqYmDbHGMjKAGqrcZc3LI/ftDqmOIKHbr2FtZUr2ELa1bVEfZbzfVjiblsx9Ux+h1TT4fd1dXUe/zkajXM8hi4YWCQo6Ij6fa4+G7TjuvNDfh0DRyjEZOSkjkml+11wAlbjft/sDWPnVeD190dABw9rbSnZ43o7CQQ+J+Gf3Y5HIxr72NWf2KdnxtfGIi3zs6uay8jCKzmUdz83rpnQeXzmYj/5+PodvHPNJoIAtwuqn1o9lU3Rmd+6aFwj3VVSQbDNydlc3ksm0MsVq5JyubRq+Xo7ds5k9ZWcxta6fc46bIbObmjEzGxu35SLbnGht4p6WFFwv70M9sZr3TydUV5fwxK4vTkpLZ4nJxSdk2ZvUrQgPOKS3hv336YtLp+ENFOe/260e8Pnrns3SJ0UjfV2YSd+CBqpOIKLehaQMXz7kYtz/8jyA8xJXPndPq0H5z8osQe5Jz//2kXniB6hghIcPc3ZR82iRSL75IdYyINLetjZ+cLm791ekJ21X8vIHtsw0NnJuSzHMFhQyzWrmyopzSvZx5e3VaOhOSkphYspVRG9ZzzrZSLktN47SkZAD6WyzckpnJ78rLubq8nFsyM+lvsXB/bQ23Z2bxtd3O6SVbObu0hGUx3uOcefNNUkiKkBicNphbx96qOsY+Jfot3PEBUkiK/ZZ40okxU0iCDHP3SPbdd+NYuxbnyug6/aA3VXs8PFxXy4sFhVj0u36W8f88yfr8lFTOTk4BYJjVymJ7J7NaW7gtM2u3153X3s7stjam5uYxwGJmvdPFw3W1ZBmNnJkcKCgvTEnlwpTUHa95v7WVeL2eMTYbE0u28lbfftR6PdxeVcWnxcWYd5Mv2sUfewzpv/ud6hgihlw67FKW1Czhy/IvVUfZo6k/DoEt0T+8LYLDmJ1N7t/+pjpGSMXeb8sg0pnNFDzxBIbU1H0/WQCw1umk0efj3G2ljNywnpEb1vO9w8Frzc2M3LCe9J9XA/b/zRyTYouZas+ez0d/rL6O3/3cOznIYuX05GQmp6Xxwm9WbW/X7PXy78YG7s3KZpXTsePYsEPj4vGiUbqPLS6ikTEnh7xHHkEni5BEF9XU1HDjjTdSXFyMxWKhsLCQ0047jc8//3y/Xv/gkQ+Sn5Dfyym757r6UaR9IoWk2E96PXn/eARDSorqJCElxWQPmXJzyXtsKsRgL1Z3HB4fxwf9ipj1q8cIq5VJSUnM6ldEoclEltG4SzFX6naTt5cTDxx+/y5/mfXo8O9hSvAj9XVcnppKjsmEXwusNtzOp2n4Ym0msdFI/uP/xCgfjEQXlZaWMnbsWBYsWMDUqVNZvXo18+bNY9y4cVx//fX7dY1kSzJTj5mKSR9ep5qMdecy7o0NqmOICJJ5yy3EH3aY6hghJ8PcQZBw5JFk3ngD9U8+pTpK2IvXGxho2Xmhi02nI8VgYODPWwRdmZrGM40NDLZYGGKx8kFbKyVuN0/kJe94zRXlZZyYkMglPxc/4xISeK6pkVyTiQEWM+ucLmY2N3F2cjK/9a3dTqnbzcM5uQCMsFopcbtZ1NFBjdeLXqejKAZW3/2azJMU3XXdddeh0+lYunQp8fG/rModPnw4V1555X5fZ2TmSO4+5G7+tjg8hgfj/Cbu+tCIZrerjiIiRNLpp5Hx+6tVx1BCiskgSb/mGhwrVtKxcKHqKBHv8rQ0XJrGP+rqaPX5GGyx8mJB4U7HdJW73TT7fhn2vjc7m6caGnigtoYmn48so5Hzk1O49jcnFjn9fh6sreWfeXnofx7OzTGZuDcrm3trqjHrdDyck4s1hnqaZZ6k6K6mpibmzZvHQw89tFMhuV1KF4f6zh98PtvatvHKT68EKWH3PbZqOGyK3uMSRXBZR48i98EHVcdQRrYGCiJfaysl55yLp6JCdRQh9otl0CD6vv5fDD/vzylEVyxdupRDDz2UWbNmcdZZZwXlmn7Nz61f3MqC8gVBuV53/KFhJCe88KOy+4vIYszJoeidtzFm7rpDSayIne6XEDAkJ1Pw72fR72ZoVYhwY8zOpvD556SQFN3WG30Rep2eR455hOHpw4N+7f0xyp3NiW9uUnJvEXl0NhsFzz4T04UkSDEZdNZBg+jz3H/Q7WWDbSFU0yckUPj8c5hyclRHERFs4MCB6HQ61q9fH9Tr2ow2nj7+aXLjc4N63X2xakbunWNFa+8I6X1FhNLpyHv479iGq/ngE06kmOwFtjFjKHzmaXR7WX0shDImEwVPPYl18GDVSUSES0tLY/z48Tz77LPYd7NQpaWlpdvXzozL5JkTniHBFLqe86mrR6JbHznHOwq1su+5h6RTTlEdIyxIMdlL4o84grx/PgYGOaJPhBG9nvxH/0H8EUeoTiKixLPPPovP5+OQQw7hf//7H5s2bWLdunU89dRTHH744T269qDUQTx27GMh2TLoysYRZM/5vtfvI6JD5i03k3b5ZapjhA0pJntR0sknk/vAAyCbQIswkfPX+0k69VTVMUQUKS4uZvny5YwbN47bb7+dESNGcNJJJ/H5558zbdq0Hl//yPwj+eex/+zVgnK4O4tT39zaa9cX0SX96qvJuOYa1THCiqzmDoHGGTOoe+QfqmOIGJd15x2kX3WV6hhCdMuCsgXcvvB2vP49n4TVHRbNwMwPC9H/tDmo1xXRKfWSS8i57/9Uxwg70jMZAulTppB+rXyKEepkXHetFJIioh3f53geO/YxjPrgbo/8j59GSyEp9kvy2WeT/X/3qo4RlqSYDJGsm28m9TKZXyFCTKcj6667yLzpJtVJhOixE/qcwGPHBK+gvKxlGHkfyTxJsW9JEyeS+7cH0Mm0td2SYjKEcu79Exk33KA6hogVRiO5D/+d9CumqE4iRNCc0PcEph4zFaOuZwXlYE8Gp7+xDWSml9iH1IsvIm/qo+hkQe0eyZxJBZrfeYea+/8KPp/qKCJK6axW8v/1OInjxqmOIkSv+Hzb59z11V24fK4uv9asGXhlTl/0qzf2QjIRTTJuuIHMG65XHSPsSTGpSPsXX1B52+1oDofqKCLK6BMTKZz2b+IOOkh1FCF61Y91P3LTgptocbV06XWPrzuQgveX9k4oER30erL/717SLr5YdZKIIMWkQo6VKym/5lp8zc2qo4goYcjMoM+LL8qG5CJmbGvbxnWfXUdZe9l+Pf+i1qGcNW2NDG+LPdKZTOT94xGSJkxQHSViyJxJhWyjR9P39f9iKihQHUVEAVOfPvR7/XUpJEVM6ZvUl9cmvMaYzDH7fO5ATzpnv1EuhaTYI31cHAX/mSaFZBdJMamYpaiIfm++gXXYMNVRRASzjhhBv/++hrmwUHUUIUIu1ZrKi+NfZHy/8Xt8jlHT88CnqWjNLaELJiKKuV8/+r39FglHHqk6SsSRYjIMGDMy6PvqK8Qfe4zqKCICpV58EX1f/y/GzEzVUYRQxmKwMPWYqVw54srdfv/hTWMwrFwf4lQiUiQcdxz93nkby4ABqqNEJJkzGUY0TaPxP/+h/ulnwO9XHUeEOX1cHDkPPEDypImqowgRVuZunctfv/srnd5OAM5rG8x509ZJuyp2pdORce21ZNx4g+wh2QNSTIYh++LFVN5xJ76GBtVRRJiyDBxA/pNPYikuVh1FiLC0tWUrt315G77GRqa+5EdrbFIdSYQZfUICeY/+g8Tjj1cdJeJJMRmmPHV1VN12O53LlqmOIsJM8hlnkHP/X9DbbKqjCBHWOj2dlD3/DNrTL6uOIsJM4AP5U1iKi1RHiQpSTIYxzeej4bnnaPj3NPB6VccRiuksFrL/715SzztPdRQhIkrrBx9Q88Df8NvtqqMI1fR60i6/nMzbbkVvNqtOEzWkmIwAjhUrqLzzj3jKy1VHEYqY+vah4IknsA4dqjqKEBHJvW0blXfciXP1atVRhCKmvDxyH3mY+EMOUR0l6kgxGSF8HXZqH3yQ1vffVx1FhJLJRPqUKWRcfx16q1V1GiEimubz0TRjJvXPPCOnj8WY5LPOIvveP2FISFAdJSpJMRlh7N9+S83fHsRdUqI6iuhltgMOIOev92MdNEh1FCGiiru8nOo//5nO7xarjiJ6mSEtjdwH/kriiSeqjhLVpJiMQJrbTePLM2j4z3/k03UU0iclkXXbbaRccL5sVSFEL2r53/+ofXQq/tZW1VFEsOn1pJxzDpm33YoxNVV1mqgnxWQE81RVUfvwI7R/+qnqKCJIkiZMIPueu2UDciFCxNvQQM2DD9E+b57qKCJIrKNHkfN/92EbOUJ1lJghxWQU6PjqK2oefBDPtjLVUUQ3mQoLyfnzn0k4+ijVUYSISfbvvqN26lRcP61THUV0kyE9nazbbiP57LNkVCfEpJiMEn63m8YXX6Tx+RfQnE7VccR+0iclkTZlMulXXikLbIRQTNM02j76iLonnsBbVa06jthfRiOpF19E5o03YkhMVJ0mJkkxGWU8lZU0PPc8re+9h+bxqI4j9kCfmEja5ZeTNmWyNH5ChBm/203zq6/S8Nzz+NvaVMcRe6LTkXTqKWTccKNsPq6YFJNRylNTQ+OL02l5913pqQwj+oQE0i6/jLTJkzEkJ6uOI4TYC19LCw3T/kPzW29JOxpmEk44gcybbsQ6eLDqKAIpJqOet6GBxpdfpuWNN/F3dqqOE7P0cXGkXnYZ6VdMwZCSojqOEKILvE1NNL36Ki2vv4FPVn6ro9OReNJJZFx7jRzgEGakmIwRvpYWml55habX/ivDNiGki4sj7ZKLSbvyStmeQogI5+/spOXdd2mcMUPmVIaQzmwm6dRTSb/6d1gGDFAdR+yGFJMxxtfRQfNr/6X59dfx1tWpjhO1LEOHknLeuSSfdprMiRQiymheL21z59L44nRcGzeqjhO1THl5pFx4ISnnnoMxLU11HLEXUkzGKM3nw/7tt7S+9x7tny9Ac7lUR4p4+rg4kiZOJOX882V/MyFiROcPP9Dyv1m0z5snU4mCQacj/sgjSb34IhKOOw6dXq86kdgPUkwKfG1ttM2ZQ8t77+NctUp1nIhjHTUq0As5YQL6+HjVcYQQCvjtdtrmzaflvVk4lv2gOk7EMWZnkzRhAqkXnI+5Xz/VcUQXSTEpduLasoXW996j9YMP8dbXq44TtgwZGSSNH0/K+efJakIhxE7cpaW0vPc+bR99hKeqSnWcsGXIzCDp5PEkTTgV24EHBm2j8SlTpjBz5kwAjEYjaWlpjBo1iosuuogpU6agl97OoJNiUuzW9mHwji++xP7NN7i3bVMdSS2dDuvw4SQceywJxx2LdcQIOWFBCLFPzg0b6FiwgPYvvsS5ejXE+K9cQ1oaiSefRNIppxJ3yMG9Mow9ZcoUamtrefnll/H5fNTW1jJv3jwefvhhjj76aD788EOMRmPQ7xvLpJgU+8VdUYH962+wf/MN9sWL8be3q47U6/QJCcQfeWSggDzmaIwZGaojCSEimLe+nvYvvqBjwRfYFy+Oib0rdSYTtjFjiDv8MOIPPxzbqFHoDIZeveeUKVNoaWnh/fff3+nrCxYs4IQTTuCFF17gd7/7Xa9miDVSTIou03w+HCtXBQrLb77BsXo1+HyqY/WYzmrFMngQcQeOJeHYY4kbeyA6k0l1LCFEFPK7XDjXrKFz+XIcy3/E8eOP+FpaVMfqOb0e65AhgeLxsMOJO2gsepstpBH2VEwCjBkzhry8PObOnRvSTNFO+nlFl+kMBuIOPIC4Aw8g88Yb8HV04Fq/HueGDbg2bMS1cSOuTZvw2+2qo+6RPj4ey9AhWIcN2/Gw9O/f65+YhRACQG+xEDd2LHFjxwKBc8HdJSU4li+nc/mPOFevxr1tG5rbrTjpXhiNWIqLsQ4dGmhPhw7DOnQIhqQk1cn2aMiQIayShaZBJ8Wk6DFDQgJxBx1E3EEH7fiapml4Kipwbdy4U5HpqalBczhClk2fnIwpJwdTbi6WAf13FI6mvn1lzqMQImzodDosxcVYiotJOfdcIDAK5KmowLVlK+6SrYF/bt2Ka+vWkB4+YUhLw5SXF3jk5mLuX4x16DAsgwait1hCliMYNE2Ttr8XSDEpeoVOp8NcWIi5sJDEE07Y6Xt+hwNvYxO+pka8jY34mprwNjXha2zC29SIr7EpsF+bXh/4odfrAw8d6HQ//7teF/h3kxFDSgrG1DQM6WkY09MDDV9ODqacHNmqRwgRsXQGA+a+fTH37QuM2+l7vo4OvHV1gUd9faAdbW7G19KCr6UVzeVC83rB50XzeNF8PjSvF83rAb+G3mZDHx//m0cc+vh4DMnJmHLzMOUHisdQD1P3pnXr1lFUVKQ6RtSRYlKEnN5mw1yQDwX5qqMIIUREMiQkYEhIwFJcrDpKxFiwYAGrV6/m1ltvVR0l6kgxKYQQQoio4nK5qKmp2WVroEmTJnH55Zerjhd1pJgUQgghRFSZN28eubm5GI1GUlNTGT16NE899RSTJ0+WTct7gWwNJIQQQgghuk3KcyGEEEII0W1STIqoNmXKFHQ6HTqdDpPJRHZ2NieddBIvvfQSfr9fdTwhhBAi4kkxKaLeKaecQnV1NaWlpXz88ceMGzeOm2++mUmTJuH1elXHE0IIISKaLMARUc9isZCTkwNAfn4+Bx54IIcddhgnnHACM2bMkDNahRBCiB6QnkkRk44//nhGjx7NrFmzVEcRQgghIpoUkyJmDRkyhNLSUtUxhBBCiIgmxaSIWXJGqxBCCNFzUkyKmCVntAohhBA9J8WkiEnbz2g955xzVEcRQgghIpqs5hZRT85oFUIIIXqPFJMi6skZrUIIIUTvkbO5hRBCCCFEt0m3jBBCCCGE6DYpJoUQQgghRLdJMSmEEEIIIbpNikkhhBBCCNFtUkwKIYQQQohuk2JSCCGEEEJ0mxSTQgghhBCi26SYFEIIIYQQ3SbFpBBCCCGE6DYpJoUQQgghRLdJMSmEEEIIIbpNikkhhBBCCNFtUkwKIYQQQohuk2JSCCGEEEJ0mxSTQgghhBCi26SYFEIIIYQQ3SbFpBBCCCGE6DYpJoUQQgghRLdJMSmEEEIIIbpNikkhhBBCCNFtUkwKIYQQQohuk2JSCCGEEEJ02/8DepeHQHJhv8UAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.pie(subplots=True,figsize=(8,8),autopct='%.1f%%')\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "outputs": [
    {
     "data": {
      "text/plain": "          A         B\n0  0.150855  0.750369\n1  1.620225  0.312796\n2 -0.643496  1.769910\n3  0.481772  0.703541\n4  0.058442 -0.563710",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>A</th>\n      <th>B</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.150855</td>\n      <td>0.750369</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.620225</td>\n      <td>0.312796</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>-0.643496</td>\n      <td>1.769910</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.481772</td>\n      <td>0.703541</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.058442</td>\n      <td>-0.563710</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.random.normal(size=(1000, 2))\n",
    "df = pd.DataFrame(data=data, columns=list('AB'))\n",
    "df.head()\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:xlabel='A', ylabel='B'>"
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x=\"A\",y=\"B\")\n",
    "df.plot(kind='scatter', x='A', y='B')\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "outputs": [
    {
     "data": {
      "text/plain": "          A         B         C         D\n0  0.087507  0.064943  0.201996  0.009948\n1  0.095828  0.774208  0.720261  0.179026\n2  0.310423  0.863480  0.954801  0.152697\n3  0.556118  0.255839  0.649155  0.006103\n4  0.512938  0.238990  0.112172  0.715713\n5  0.741907  0.713970  0.534132  0.535755\n6  0.736472  0.059617  0.806442  0.769814\n7  0.489197  0.136739  0.223626  0.201991\n8  0.383091  0.129441  0.094873  0.440361\n9  0.134472  0.174789  0.518386  0.964101",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>A</th>\n      <th>B</th>\n      <th>C</th>\n      <th>D</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.087507</td>\n      <td>0.064943</td>\n      <td>0.201996</td>\n      <td>0.009948</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.095828</td>\n      <td>0.774208</td>\n      <td>0.720261</td>\n      <td>0.179026</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.310423</td>\n      <td>0.863480</td>\n      <td>0.954801</td>\n      <td>0.152697</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.556118</td>\n      <td>0.255839</td>\n      <td>0.649155</td>\n      <td>0.006103</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.512938</td>\n      <td>0.238990</td>\n      <td>0.112172</td>\n      <td>0.715713</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0.741907</td>\n      <td>0.713970</td>\n      <td>0.534132</td>\n      <td>0.535755</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0.736472</td>\n      <td>0.059617</td>\n      <td>0.806442</td>\n      <td>0.769814</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0.489197</td>\n      <td>0.136739</td>\n      <td>0.223626</td>\n      <td>0.201991</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0.383091</td>\n      <td>0.129441</td>\n      <td>0.094873</td>\n      <td>0.440361</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0.134472</td>\n      <td>0.174789</td>\n      <td>0.518386</td>\n      <td>0.964101</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data=np.random.rand(10, 4), columns=list('ABCD'))\n",
    "df"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:>"
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.area(stacked=False)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [
    {
     "data": {
      "text/plain": "          A         B         C         D         E\n0  0.542111  0.875717  0.578339  0.806818  0.072949\n1  0.598198  0.071213  0.000694  0.783082  0.041308\n2  0.863501  0.626699  0.756103  0.042697  0.348393\n3  0.752018  0.238614  0.920943  0.441708  0.479400\n4  0.857445  0.505876  0.285356  0.234365  0.193403\n5  0.751765  0.670199  0.993206  0.608841  0.351909\n6  0.854635  0.990328  0.188468  0.326233  0.423169\n7  0.730884  0.089962  0.054842  0.329569  0.671474\n8  0.260670  0.162251  0.258196  0.605207  0.116441\n9  0.741984  0.101222  0.573577  0.145262  0.305976",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>A</th>\n      <th>B</th>\n      <th>C</th>\n      <th>D</th>\n      <th>E</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.542111</td>\n      <td>0.875717</td>\n      <td>0.578339</td>\n      <td>0.806818</td>\n      <td>0.072949</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.598198</td>\n      <td>0.071213</td>\n      <td>0.000694</td>\n      <td>0.783082</td>\n      <td>0.041308</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.863501</td>\n      <td>0.626699</td>\n      <td>0.756103</td>\n      <td>0.042697</td>\n      <td>0.348393</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.752018</td>\n      <td>0.238614</td>\n      <td>0.920943</td>\n      <td>0.441708</td>\n      <td>0.479400</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.857445</td>\n      <td>0.505876</td>\n      <td>0.285356</td>\n      <td>0.234365</td>\n      <td>0.193403</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0.751765</td>\n      <td>0.670199</td>\n      <td>0.993206</td>\n      <td>0.608841</td>\n      <td>0.351909</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0.854635</td>\n      <td>0.990328</td>\n      <td>0.188468</td>\n      <td>0.326233</td>\n      <td>0.423169</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0.730884</td>\n      <td>0.089962</td>\n      <td>0.054842</td>\n      <td>0.329569</td>\n      <td>0.671474</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0.260670</td>\n      <td>0.162251</td>\n      <td>0.258196</td>\n      <td>0.605207</td>\n      <td>0.116441</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0.741984</td>\n      <td>0.101222</td>\n      <td>0.573577</td>\n      <td>0.145262</td>\n      <td>0.305976</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data=np.random.rand(10, 5), columns=list('ABCDE'))\n",
    "df\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:>"
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.box()\n",
    "df.plot(kind=\"box\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:ylabel='Frequency'>"
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 直方图\n",
    "df = pd.DataFrame({'A': np.random.randn(1000) + 1,\n",
    "                    'B': np.random.randn(1000),\n",
    "                    'C': np.random.randn(1000) - 1})\n",
    "# df.plot.hist(alpha=0.5) # 带透明度直方图\n",
    "df.plot.hist(stacked=True)  # 堆叠图\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "outputs": [
    {
     "data": {
      "text/plain": "            A         B         C\n0    2.422933 -1.171712 -0.449544\n1    1.518758  1.046553 -1.945249\n2   -0.193686 -0.859208 -0.875449\n3    1.173915 -0.958317  0.481143\n4    2.249713  0.355158 -1.491068\n..        ...       ...       ...\n995  0.201650 -0.859251 -1.689502\n996 -0.697954 -0.628812  0.568838\n997  2.597911  0.419041 -2.194386\n998  0.295070  0.158441 -0.529156\n999  1.053506  0.208883 -1.314297\n\n[1000 rows x 3 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>A</th>\n      <th>B</th>\n      <th>C</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2.422933</td>\n      <td>-1.171712</td>\n      <td>-0.449544</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.518758</td>\n      <td>1.046553</td>\n      <td>-1.945249</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>-0.193686</td>\n      <td>-0.859208</td>\n      <td>-0.875449</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1.173915</td>\n      <td>-0.958317</td>\n      <td>0.481143</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2.249713</td>\n      <td>0.355158</td>\n      <td>-1.491068</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>995</th>\n      <td>0.201650</td>\n      <td>-0.859251</td>\n      <td>-1.689502</td>\n    </tr>\n    <tr>\n      <th>996</th>\n      <td>-0.697954</td>\n      <td>-0.628812</td>\n      <td>0.568838</td>\n    </tr>\n    <tr>\n      <th>997</th>\n      <td>2.597911</td>\n      <td>0.419041</td>\n      <td>-2.194386</td>\n    </tr>\n    <tr>\n      <th>998</th>\n      <td>0.295070</td>\n      <td>0.158441</td>\n      <td>-0.529156</td>\n    </tr>\n    <tr>\n      <th>999</th>\n      <td>1.053506</td>\n      <td>0.208883</td>\n      <td>-1.314297</td>\n    </tr>\n  </tbody>\n</table>\n<p>1000 rows × 3 columns</p>\n</div>"
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "outputs": [
    {
     "data": {
      "text/plain": "0      2.422933\n1      1.518758\n2     -0.193686\n3      1.173915\n4      2.249713\n         ...   \n995    0.201650\n996   -0.697954\n997    2.597911\n998    0.295070\n999    1.053506\nName: A, Length: 1000, dtype: float64"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<AxesSubplot:ylabel='Frequency'>"
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df.A)\n",
    "df['A'].plot(kind='hist')\n",
    "# df.plot(kind='hist')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}